Dealing with Missing Data in Rough Set Analysis of Multi-Attribute and Multi-Criteria Decision Problems

Author:

Greco S.,Matarazzo B.,Slowinski R.

Publisher

Springer US

Reference14 articles.

1. Greco, S., Matarazzo, B., Slowinski, R.: A new rough set approach to evaluation of bankruptcy risk. In: C.Zopounidis (ed.): Operational Tools in the Management of Financial Risks. Kluwer, Dordrecht, 1998a, pp. 121–136

2. Greco, S., Matarazzo, B., Slowinski, R.: A new rough set approach to multicriteria and multiattribute classification. In: L.Polkowski, A.Skowron (eds.): Rough sets and Current Trends in Computing (RSTCTC’98), Lecture Notes in Artificial Intelligence, vol. 1424, Springer-Verlag, Berlin, 1998b, pp. 60–67

3. Greco, S., Matarazzo, B., Slowinski, R.: The use of rough sets and fuzzy sets in MCDM. Chapter 14 in: T.Gal, T.Stewart, T.Hanne (eds.), Advances in Multiple-Criteria Decision Making, Kluwer Academic Publishers, Boston, 1999a, pp. 14. 1–14. 59

4. Greco, S., Matarazzo, B., Slowinski, R., Zanakis, S.: Rough set analysis of information tables with missing values. In: D.K.Despotis and C.Zopounidis (eds.), Proc. 5 International Conference of the Decision Sciences Institute, Athens, Greece, 4–7 July 1999b, pp. 1359–1362

5. Greco, S., Matarazzo, B., Slowinski, R.: Handling missing values in rough set analysis of multi-attribute and multi-criteria decision problems. In: N.Zhong, A.Skowron and S.Ohsuga (eds.), New Directions in Rough Sets, Data Mining and Granular-Soft Computing Computing (RSFDGrC’99), Lecture Notes in Artificial Intelligence, vol. 1711, Springer-Verlag, Berlin, 1999c, pp. 146–157

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